Investigating the influential factors of return channel loyalty in omni-channel retailing

被引:60
作者
Xu, Xun [1 ]
Jackson, Jonathan E. [2 ]
机构
[1] Calif State Univ Stanislaus, Coll Business Adm, Dept Management Operat & Mkt, One Univ Circle, Turlock, CA 95382 USA
[2] Providence Coll, Sch Business, Dept Finance, 1 Cunningham Sq, Providence, RI 02918 USA
关键词
Omni-channel; Product returns; Customer loyalty; Perceived risk; REVERSE LOGISTICS NETWORK; CONSUMER DECISION-MAKING; MONEY-BACK GUARANTEES; PRODUCT RETURNS; PERCEIVED RISK; CUSTOMER LOYALTY; E-COMMERCE; AMBIGUITY TOLERANCE; SERVICE QUALITY; SPECIAL-ISSUE;
D O I
10.1016/j.ijpe.2019.03.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The ever-evolving omni-channel retail environment provides customers with a variety of channels to select from when making purchases and returns. Despite the growing number of product returns, there is limited research that focuses on customers' perception of the return process in an omni-channel retail environment. To fill this gap, via an empirical analysis,, this paper examines the influential, factors on customers' return channel loyalty. Our structural equation modeling results found that perceived risk, purchase-return channel consistency, monetary cost, and hassle cost influence customers' return channel loyalty. Comparatively, perceived risk has the highest impact on customers' return channel loyalty. Additionally, hassle cost has more influence than monetary cost on customers' return channel loyalty. We also found that both internal (ambiguity tolerance, patience, and familiarity) and external (return policy flexibility) factors influence customers' perceived risk. Comparatively, channel familiarity has a higher influence on reducing customers' perceived risk compared with patience and the channel's return policy flexibility. Understanding customers' perceptions of a return channel is the first step in the implementation of an effective return management strategy in an omni-channel retail environment. This first step will provide retailers with opportunities to better understand the needs of targeted customers, offer improved post-sales services, and optimize their handling of product returns.
引用
收藏
页码:118 / 132
页数:15
相关论文
共 139 条
[1]   A joint approach for setting unit price and the length of the credit period for a seller when end demand is price sensitive [J].
Abad, PL ;
Jaggi, CK .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2003, 83 (02) :115-122
[2]   E-fulfillment and multi-channel distribution - A review [J].
Agatz, Niels A. H. ;
Fleischmann, Moritz ;
Van Nunen, Jo A. E. E. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 187 (02) :339-356
[3]   An investigation into critical service determinants of customer to business (C2B) type product returns in retail firms [J].
Ahsan, Kamrul ;
Rahman, Shams .
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2016, 46 (6-7) :606-633
[4]   Private-Label Use and Store Loyalty [J].
Ailawadi, Kusum L. ;
Pauwels, Koen ;
Steenkamp, Jan-Benedict E. M. .
JOURNAL OF MARKETING, 2008, 72 (06) :19-30
[5]   Managing Multi- and Omni-Channel Distribution: Metrics and Research Directions [J].
Ailawadi, Kusum L. ;
Farris, Paul W. .
JOURNAL OF RETAILING, 2017, 93 (01) :120-135
[6]   A PSYCHOLOGICAL-STUDY OF THE INVERSE RELATIONSHIP BETWEEN PERCEIVED RISK AND PERCEIVED BENEFIT [J].
ALHAKAMI, AS ;
SLOVIC, P .
RISK ANALYSIS, 1994, 14 (06) :1085-1096
[7]   Multi-period reverse logistics network design [J].
Alumur, Sibel A. ;
Nickel, Stefan ;
Saldanha-da-Gama, Francisco ;
Verter, Vedat .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 220 (01) :67-78
[8]   The Option Value of Returns: Theory and Empirical Evidence [J].
Anderson, Eric T. ;
Hansen, Karsten ;
Simester, Duncan .
MARKETING SCIENCE, 2009, 28 (03) :405-423
[9]  
Andreassen W. T., 1997, EUR J MARKETING, V31, P487, DOI DOI 10.1108/03090569710176637
[10]  
[Anonymous], 2006, WORKING PAPER